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    Overview
    ProductRatingMost Used ByProduct SummaryStarting Price

    Google Cloud SQL

    Score8.7 out of 10
    N/AGoogle Cloud SQL is a database-as-a-service (DBaaS) with the capability and functionality of MySQL.

    $0

    per core hour

    Pricing
    Google Cloud SQL
    Editions & Modules
    License - Express
    $0
    per core hour
    License - Web
    $0.01134
    per core hour
    Storage - for backups
    $.08
    per month per GB
    HA Storage - for backups
    $.08
    per month per GB
    Storage - HDD storage capacity
    $.09
    per month per GB
    License - Standard
    $0.13
    per core hour
    Storage - SSD storage capacity
    $.17
    per month per GB
    HA Storage - HDD storage capacity
    $.18
    per month per GB
    HA Storage - SSD storage capacity
    $.34
    per month per GB
    License - Enterprise
    $0.47
    per core hour
    Memory
    $5.11
    per month per GB
    HA Memory
    $10.22
    per month per GB
    vCPUs
    $30.15
    per month per vCPU
    HA vCPUs
    $60.30
    per month per vCPU
    Offerings
    Pricing Offerings
    Google Cloud SQL
    Free Trial
    Yes
    Free/Freemium Version
    No
    Premium Consulting/Integration Services
    No
    Entry-level Setup FeeNo setup fee
    Additional DetailsPricing varies with editions, engine, and settings, including how much storage, memory, and CPU you provision. Cloud SQL offers per-second billing.
    More Pricing Information
    Community Pulse
    Google Cloud SQL
    Considered Both Products
    Google
    Chose Google Cloud SQL
    Our use case was mainly within the Google Cloud ecosystem, so this service was of high value where all of our sub-infra for a project was right there in one place. We no longer had to maintain separate dashboard for monitoring just because our compute and database were on …
    Incentivized
    Chose Google Cloud SQL
    It is easy to connect Google Cloud SQL with the Compute Engine, Cloud Run, BigQuery, or PubSub. The connection inside the Google infrastructure is much more secured and fast when they are in same zone/region, so never faced any issues. The documentation is excellent to connect …
    Incentivized
    Chose Google Cloud SQL
    DigitalOcean Managed database is relatively less costly compared to Google Cloud SQL database.

    Google Cloud SQL service is well integrated with other Google Cloud Platform services such as IAM which enables fine grain access to team members.
    Incentivized
    Chose Google Cloud SQL
    Simple to implement as SaaS.
    Incentivized
    Chose Google Cloud SQL
    I've used Supabase and can say that Google Cloud SQL is a lot more hands off. They just run an instance for you and don't do much more than that. Which is exactly what we wanted. If you want something that is truly fully managed and abstracted then I guess that would be a …
    Incentivized
    Chose Google Cloud SQL
    Kind of similar features provided against RDS. Used this because of transactional db
    Incentivized
    Chose Google Cloud SQL
    Google's solution for database is, at least for our team, easier to implement and maintain than Amazon's offer.
    Incentivized
    Chose Google Cloud SQL
    Given this is a hosted solution, database a service it helps in removing the effort of maintaining these databases manually. Eases out the pain of upgrading, applying security patches and keeping things running without having to worry about missed changes. The database can be …
    Incentivized
    Chose Google Cloud SQL
    As I used Google Cloud SQL it's performance is very good and it's ui ux is as per the user demand. Apart from it the backend is very strong which makes it more usable tools as it gives or run the query in very minimal time. Yes there has to be some work on security and …
    Incentivized
    Chose Google Cloud SQL
    Google Cloud SQL ended up being less expensive, have a greater support team and offer a much better interface
    Incentivized
    Chose Google Cloud SQL
    I 100% prefer Google Cloud SQL over Amazon Aurora in terms of ease of use and clarity in terms of understanding how the autoscaling is going to work. Connecting to the database directly is also much more straightforward.
    Incentivized
    Chose Google Cloud SQL
    In our experience, we were down for almost a day, because Database Engineers at Rackspace weren't able to understand or provide a solution, and when they did, they had to recreate the database from the scratch. On a server, this is time consuming. When we faced a similar …
    Incentivized
    Chose Google Cloud SQL
    BigQuery is a great analytical database and is generally our first choice for large analytical workloads. While its performance and throughput far outperforms Google Cloud SQL but it supports a far limited dialets of SQL. Generally a significant rewrite will be needed for …
    Incentivized
    Chose Google Cloud SQL
    Setting up or migrating Google Cloud SQL is easy as compared to AWS. It has a good monitoring and logging mechanism and a good user interface which makes it easy to navigate.It also has a pay as you go pricing which makes it easier to reduce cost. Google Cloud SQL offers …
    Incentivized
    Chose Google Cloud SQL
    Actually Google Cloud SQL is similar to them, the difference is which engine each supports e.g. there's no managed Oracle DB in Google Cloud SQL but as long as you don't need Oracle, Google Cloud SQL should suffice and give you great user experience and performance. You also …
    Incentivized
    Chose Google Cloud SQL
    Google SQL was great as a first SQL provision. It quickly enabled the apps to be built and scaled as needed for a while. It was robust and adaptable as needed and easy to export as needed when ready, depending on growth. Cost-wise, it's a good choice and requires little …
    Incentivized
    Chose Google Cloud SQL
    Unlike other products, Google Cloud SQL has very flexible features that allow it to be selected for a free trial account so that the product can be analyzed and tested before purchasing it. Integration capabilities with most of the web services tools are easier regarding Google …
    Incentivized
    Chose Google Cloud SQL
    When comparing cost, Google Cloud SQL typically offers a more straightforward and versatile plan than Azure SQL Database. Cloud SQL for PostgreSQL is a serverless solution provided by Google Cloud SQL that automatically modifies resources according to workload. For customers …
    Incentivized
    Chose Google Cloud SQL
    - AWS RDS and Aurora is a just a notch above Google Cloud SQL as it provide boost in performance when required
    - Google Cloud SQL Mysql Engine is Cloud based and better than native Mysql as it provides management of the server out of box
    - Compared to a MongoDB it has a low …
    Incentivized
    Chose Google Cloud SQL
    I have used only Google Cloud SQL so far.
    Incentivized
    Chose Google Cloud SQL
    At first, we choose Google Cloud SQL only for demo purposes. It is so easy to set up and It is fully managed. we have worked with Azure SQL as well but Google SQL is more simple to use and It fully secure, reliable, provides high availability, and very Low Latency.
    Incentivized
    Chose Google Cloud SQL
    Easier learning, simple features and settings with a very user-friendly application environment and flexible prices make Google Cloud [SQL] a pioneering option over competitors
    Incentivized
    Chose Google Cloud SQL
    IBM DB2
    AWS RDS
    Azure SQL Database
    Incentivized
    Key User Insights
    Would buy again
    100%
    Would buy again
    32 Answers
    Delivers good value for the price
    100%
    Delivers good value for the price
    32 Answers
    Happy with the feature set
    100%
    Happy with the feature set
    32 Answers
    Lived up to sales and marketing promises
    100%
    Lived up to sales and marketing promises
    24 Answers
    Implementation went as expected
    100%
    Implementation went as expected
    29 Answers
    Features
    Google Cloud SQL
    Database-as-a-Service
    Comparison of Database-as-a-Service features of Google Cloud SQL
    Feature
    Google Cloud SQL
    8.9
    35 Ratings
    5% above category average
    Automatic software patching9.612 Ratings
    Database scalability8.635 Ratings
    Automated backups8.735 Ratings
    Database security provisions8.635 Ratings
    Monitoring and metrics9.034 Ratings
    Automatic host deployment9.012 Ratings
    Best Alternatives
    Google Cloud SQL
    Small Businesses
    MongoDB Atlas
    Score7.8 out of 10
    Medium-sized Companies
    Azure Database
    Score8.8 out of 10
    Enterprises
    Google BigQuery
    Score8.8 out of 10
    All AlternativesView all alternatives
    User Ratings
    Google Cloud SQL
    Likelihood to Recommend
    8.4
    (35 ratings)
    Likelihood to Renew
    9.1
    (2 ratings)
    Usability
    8.6
    (17 ratings)
    Support Rating
    9.1
    (5 ratings)
    Implementation Rating
    9.1
    (1 ratings)
    Ease of integration
    9.3
    (12 ratings)
    User Testimonials
    Google Cloud SQL
    Likelihood to Recommend
    Google
    Does what it promises well, for instance, as a sidecar for the main enterprise data warehouse. However, I would not recommend using it as the main data warehouse, particularly due to the heavy business logic, as other dedicated tools are more suitable for ensuring scalable operations in terms of change management and multi-developer adjustments.
    Incentivized
    Read full review
    Pros
    Google
    • It has a easily and user understandable interface which provides it every necessary feature to come up with.
    • It's backend is very strong that can help us to run big quieres without any hesitation.
    • It's integration with other tools are one of the powerful feature which makes it more suitable to use.
    Incentivized
    Read full review
    Cons
    Google
    • Increasing support for more database engines may enable a wider range of application needs to be met.
    • Implementing and updating cutting-edge security features on a constant basis.
    • Streamlining and enhancing the tools for transferring data to Google Cloud SQL from on-premises databases or other cloud providers.
    Read full review
    Likelihood to Renew
    Google
    It fits the current needs and bandwith of out lean organization.
    Incentivized
    Read full review
    Usability
    Google
    As with other cloud tools, users must learn a new terminology to navigate the various tools and configurations, and understand Google Cloud's configuration structure to perform even the most basic operations. So the learning curve is quite steep, but after a few months, it gets easier to maintain.
    Incentivized
    Read full review
    Support Rating
    Google
    GCP support in general requires a support agreement. For small organizations like us, this is not affordable or reasonable. It would help if Google had a support mechanism for smaller organizations. It was a steep learning curve for us because this was our first entry into the cloud database world. Better documentation also would have helped.
    Incentivized
    Read full review
    Alternatives Considered
    Google
    Unlike other products, Google Cloud SQL has very flexible features that allow it to be selected for a free trial account so that the product can be analyzed and tested before purchasing it. Integration capabilities with most of the web services tools are easier regarding Google Cloud SQL with its nature and support.
    Incentivized
    Read full review
    Return on Investment
    Google
    • Improved integration with Google Cloud, we have set up some automations with Google Workspace, and we have noticed that the raw data sharing between them is very fast as compared to using some other managed database, not sure why.
    • Due to some downtime during maintenance, we had to set up a relatively small service which ingested the data while this went down and dumped it when it came back up. So this was a negative impact on our ROI, since now we had to remedy this downtime against the same profit margins
    • It was cheaper than the legacy aws service since we needed large database instances
    Incentivized
    Read full review
    ScreenShots

    Google Cloud SQL Screenshots

    Screenshot of migrating to a fully managed database solution - Self-managing a database, such as MySQL, PostgreSQL, or SQL Server, can be inefficient and expensive, with significant effort around patching, hardware maintenance, backups, and tuning. Migrating to a fully managed solution can be done using a Database Migration Service with minimal downtime.Screenshot of data-driven application development - Cloud SQL accelerates application development via integration with the larger ecosystem of Google Cloud services, Google partners, and the open source community.